Yifei Wang

According to our database, Yifei Wang authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Performance and improvement strategies for adapting generative large language models for electronic health record applications: A systematic review.

Xinsong Du, Zhengyang Zhou, Yifei Wang, Ya-Wen Chuang, Yiming Li, Richard Yang, Pengyu Hong, David W. Bates, Li Zhou

Int. J. Medical Informatics, 2026

2025

Cross-Modality Controlled Molecule Generation with Diffusion Language Model.

Yunzhe Zhang, Yifei Wang, Khanh Vinh Nguyen, Pengyu Hong

CoRR, August, 2025

Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning.

Yifei Wang, Yunrui Li, Lin Liu, Pengyu Hong, Hao Xu

J. Chem. Inf. Model., 2025

2024

Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases.

Yifei Wang, Liqin Wang, Zhengyang Zhou, John Laurentiev, Joshua R. Lakin, Li Zhou, Pengyu Hong

J. Biomed. Informatics, 2024

2023

Motif-Based Graph Representation Learning with Application to Chemical Molecules.

Yifei Wang, Shiyang Chen, Guobin Chen, Ethan Shurberg, Hang Liu, Pengyu Hong

Informatics, March, 2023

Asymmetric Contrastive Multimodal Learning for Advancing Chemical Understanding.

Hao Xu, Yifei Wang, Yunrui Li, Pengyu Hong

CoRR, 2023

Counterpart Fairness - Addressing Systematic between-group Differences in Fairness Evaluation.

Yifei Wang, Zhengyang Zhou, Liqin Wang, John Laurentiev, Peter Hou, Li Zhou, Pengyu Hong

CoRR, 2023

2022

Knowledgebra: An Algebraic Learning Framework for Knowledge Graph.

Tong Yang, Yifei Wang, Long Sha, Jan Engelbrecht, Pengyu Hong

Mach. Learn. Knowl. Extr., 2022

2021

Predicting the Stereoselectivity of Chemical Transformations by Machine Learning.

Justin Li, Dakang Zhang, Yifei Wang, Christopher Ye, Hao Xu, Pengyu Hong

CoRR, 2021

On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections.

Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong, Hongfu Liu

Proceedings of the 9th International Conference on Learning Representations, 2021